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Quick update on StreamingKMeans

30 November, 2012

Haven’t written anything in a long time but have been slowly making progress.

So, now I have a StreamingKMeans implementation (improved Ted’s) and I did lots of cleanups and bugfixes [1].

Also, there’s a new MapReduce version in experimental/ in both main/ and test. StreamingKMeansDriver implements the command line tool. The code is in a new branch appropriately titled mapreduce where I’ll do most development from now on.

Finally, there’s a new EvaluateClustering class that tries the data on a SequenceFile of TF-IDF vectors generated using Mahout’s seqdirectory and seq2sparse tools [2].

[1] https://github.com/dfilimon/knn
[2] https://cwiki.apache.org/MAHOUT/quick-tour-of-text-analysis-using-the-mahout-command-line.html

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2 Comments leave one →
  1. sirvan permalink
    18 June, 2013 3:04 PM

    Hi there,
    I am new to mahout, I choose Mahout .8 for its stream clustering cpability,
    I have studied the referenced paper and base algorithm and completely clear to me,
    but for now, I want test it on a dataset. How I can run a simple example using this feature and where should I start it. If you have any suggestion on it, plz help.
    thank you

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